A.I. Engineer (LLM​/ RAG​/ AI​/ML Jobs

Senior AI Engineer

We are seeking a Senior AI Engineer to support advanced AI and emerging technology initiatives, focusing on building and deploying cutting-edge AI/ML solutions. This role emphasizes Large Language Models (LLMs), data engineering, and scalable AI architectures in a secure, mission-driven environment. This is a highly technical, hands-on role ideal for engineers with strong software engineering foundations and experience operationalizing AI/ML capabilities.

Key Responsibilities:

• Design, develop, and maintain AI/ML solutions supporting advanced analytics and automation efforts
• Build and optimize LLM orchestration frameworks integrating multiple AI components
• Develop systems combining RAG (Retrieval-Augmented Generation), static analysis tools, and automated testing pipelines
• Engineer data pipelines to ingest, clean, transform, and vectorize structured and unstructured data
• Fine-tune and optimize Large Language Models (LLMs) for specialized use cases
• Design and implement database solutions supporting vector search, metadata, and artifact storage
• Support development of tools for vulnerability identification and mitigation using AI/ML techniques
• Deploy and manage AI solutions within secure, containerized, and networked environments
• Conduct performance tuning, scalability analysis, and system optimization
• Support security assessments and ATO processes for deployed AI systems
• Collaborate with cross-functional teams in an Agile development environment

Required Qualifications:

• Active TS/SCI with Full Scope Polygraph
• Bachelor's degree and 8+ years of relevant experience (or equivalent)
• Strong proficiency in Python development
• Hands-on experience with AI/ML systems and LLM integration
• Experience building or working with RAG architectures and data pipelines
• Experience with data preprocessing, transformation, and vectorization techniques
• Knowledge of relational and vector databases
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with Agile methodologies and tools (Git, Jira, Confluence)
• Strong software engineering fundamentals and experience delivering production systems

Preferred Qualifications:

• Experience with static code analyzers and automated testing pipelines
• Familiarity with modern LLM tools and platforms (e.g., Claude, Codex or similar)
• Experience with CI/CD pipelines and Dev Ops practices
• Exposure to Rust or other systems-level programming languages
• Experience building AI solutions in high-security or controlled environments
• Knowledge of advanced AI-driven cybersecurity or vulnerability detection techniques

Education:

• Bachelor's degree in Computer Science, Engineering, or related field
• Equivalent experience may be considered

Why This Role:

Work on next-generation AI/ML and LLM-driven systems

Direct impact on advanced analytics and security-focused AI capabilities

Highly technical environment with ownership of end-to-end AI solutions

Long-term, stable onsite opportunity in the Fort Meade market